Senior Azure Data Engineer /Azure Databricks/ADLS

CAPosted 12 weeks ago

Role Overview

Ccube is hiring a Senior Azure Data Engineer /Azure Databricks/ADLS. This is a full-time hybrid role, based in CA. Part of Ccube's Devops hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Senior-level Devops roles is $120k-$195k (based on 20 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

ScalaSQLAzureSparkDevOpsPower BIJDHello

Job Description

Hello Azure Data Professional!

We are looking for an " Sr Azure Data Engineer Lead (Azure Databricks) in Mississauga, ON for a (Hybrid Role)."

Below is the JD for review.

Job Title- : Sr Azure Data Engineer (Azure Databricks/ADLS)

Location- Mississauga, ON (Hybrid)

Role- Full Time/CTH

Exp- 10-12+ years

Skills

Azure Data Lake Storage,
Azure Data Factory,
Azure Data Bricks,
Azure Synapse,
Azure Analysis Server,
Azure Devops,
Spark SQL,
SQL,
Data Modelling,
Data Warehousing,
Pyspark, Scala

Description

Implemented end-to-end solution for migrating on-premises system to Azure Cloud.
Analysis of the requirements provided by the client and transforming them into functional and technical specifications.
Built the metadata driven Data Ingestion and Data Transformation pipelines using Azure Data factory
Have done the performance optimization using delta lake house in databricks
Built the complex business logic in Databricks using SparkSQL, SCALA and PySpark
Built the Spark applications for data extraction, transformation and aggregation from multiple file formats for analyzing and
transforming the data uncover insight into the customer usage patterns.
Creation of cubes on Visual Studio on top of Azure Synapse and ADLS which works as a consumption source for visualization on Power BI dashboards.
Created multiple complex and dynamic stored procedures using Azure Synapse and scheduled them Using ADF.Have done the performance optimization for Databricks and Stored procedures and reduced the

execution time to some extent.

Deployed all the Components from one environment to another environment Using Azure Dev ops.
Managed the team and responsible for requirement gathering, data modelling, capacity planning, sprint planning, developing and on time delivery of the project.

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About Ccube

Ccube

ccube.com

DevopsHybrid

All open roles at Ccube Visit website

Frequently Asked Questions

How do I apply for the Senior Azure Data Engineer /Azure Databricks/ADLS position at Ccube?

Use the Apply button above to submit your application directly to Ccube. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Is the Senior Azure Data Engineer /Azure Databricks/ADLS role at Ccube remote or in-office?

This is a hybrid role based in CA. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.

What does a Senior Azure Data Engineer /Azure Databricks/ADLS at Ccube earn?

Ccube has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Azure Data Engineer /Azure Databricks/ADLS role at Ccube posted?

This role was posted on April 1, 2026 (86 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Azure Data Engineer /Azure Databricks/ADLS role at Ccube require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Ccube lists their specific requirements in the description below, so review the must-have qualifications closely before applying.

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